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Conference Paper
Event Sentence Extraction in Korean Newspapers
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- Authors
- Bo Hyun Yun, Tae Hyun Kim, Yi Gyu Hwang, Pal Jin Lee, Seung Shik Kang
- Issue Date
- 2003-02
- Citation
- International Conference on Intelligent Text Processing and Computational Linguistics (CICLing) 2003 (LNCS 2588), v.2588, pp.580-583
- Publisher
- Springer
- Language
- English
- Type
- Conference Paper
- Abstract
- Information extraction is to extract information about the main events in the text. This paper presents an event sentence extraction method in Korean newspapers for information extraction. Event sentences contain meaningful information such as the agent, the time and the place of an event. To extract these sentences, we acquire various features such as verbs, nouns, noun phrases, 3Ws, and their weights. And then, the system computes weights of sentences and extracts event sentences by our extraction algorithm. The experimental result shows the average precision of 86.1%.
- KSP Keywords
- Average Precision, Event sentence extraction, Experimental Result, Extraction method, Meaningful information, extraction algorithm, information extraction